Upload folder using huggingface_hub

README.md

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+---
+library_name: keras-hub
+---
+This is a [`Albert` model](https://keras.io/api/keras_hub/models/albert) uploaded using the KerasHub library and can be used with JAX, TensorFlow, and PyTorch backends.
+Model config:
+* **name:** albert_backbone
+* **trainable:** True
+* **vocabulary_size:** 30000
+* **num_layers:** 12
+* **num_heads:** 64
+* **num_groups:** 1
+* **num_inner_repetitions:** 1
+* **embedding_dim:** 128
+* **hidden_dim:** 4096
+* **intermediate_dim:** 16384
+* **dropout:** 0
+* **max_sequence_length:** 512
+* **num_segments:** 2
+
+This model card has been generated automatically and should be completed by the model author. See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for more information.

config.json

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+{
+    "module": "keras_nlp.src.models.albert.albert_backbone",
+    "class_name": "AlbertBackbone",
+    "config": {
+        "name": "albert_backbone",
+        "trainable": true,
+        "vocabulary_size": 30000,
+        "num_layers": 12,
+        "num_heads": 64,
+        "num_groups": 1,
+        "num_inner_repetitions": 1,
+        "embedding_dim": 128,
+        "hidden_dim": 4096,
+        "intermediate_dim": 16384,
+        "dropout": 0,
+        "max_sequence_length": 512,
+        "num_segments": 2
+    },
+    "registered_name": "keras_nlp>AlbertBackbone",
+    "assets": [],
+    "weights": "model.weights.h5"
+}

metadata.json

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+{
+    "keras_version": "3.0.1",
+    "keras_nlp_version": "0.7.0",
+    "parameter_count": 222595584,
+    "date_saved": "2023-12-27@02:00:29"
+}

model.weights.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:eb05d949846a1f48e0f2ed231ba5e1c102adab3561995d6491eb851ee4694046
+size 890441256

tokenizer.json

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+{
+    "module": "keras_nlp.src.models.albert.albert_tokenizer",
+    "class_name": "AlbertTokenizer",
+    "config": {
+        "name": "albert_tokenizer",
+        "trainable": true,
+        "dtype": "int32",
+        "proto": null,
+        "sequence_length": null
+    },
+    "registered_name": "keras_nlp>AlbertTokenizer",
+    "assets": [
+        "assets/tokenizer/vocabulary.spm"
+    ],
+    "weights": null
+}